{"id":2740,"date":"2018-06-22T16:00:34","date_gmt":"2018-06-22T07:00:34","guid":{"rendered":"https:\/\/www.muscle-hypertrophy.com\/?p=2740"},"modified":"2018-07-22T11:31:19","modified_gmt":"2018-07-22T02:31:19","slug":"%e4%bd%8e%e5%bc%b7%e5%ba%a6%e3%81%a8%e9%ab%98%e5%bc%b7%e5%ba%a6%e3%81%a8%e3%81%ae%e7%ad%8b%e5%8a%9b%e3%83%88%e3%83%ac%e3%83%bc%e3%83%8b%e3%83%b3%e3%82%b0%e3%81%ab%e3%81%8a%e3%81%91%e3%82%8b%e7%ad%8b","status":"publish","type":"post","link":"https:\/\/www.muscle-hypertrophy.com\/?p=2740","title":{"rendered":"\u4f4e\u5f37\u5ea6\u3068\u9ad8\u5f37\u5ea6\u3068\u306e\u7b4b\u529b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u7b4b\u529b\u3068\u7b4b\u80a5\u5927\u306e\u9069\u5fdc\uff0c\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc\u3068\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9"},"content":{"rendered":"

\u3000\u5eb5\u91ce\u62d3\u5c06\u6c0f\u306e 2018 \u5e74 6 \u6708 21 \u65e5\u306e\u30d6\u30ed\u30b0\u7b4b\u529b\u5897\u5f37\u3068\u7b4b\u80a5\u5927\u306e\u52b9\u679c\u3092\u6700\u5927\u306b\u3059\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u5f37\u5ea6\u306e\u6700\u65b0\u30a8\u30d3\u30c7\u30f3\u30b9<\/a>\u3067\u516c\u958b\u3055\u308c\u305f\u73fe\u6642\u70b9\u3067\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\uff0e<\/p>\n

<\/p>\n

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\u3000\u3057\u305f\u304c\u3063\u3066\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3068\u3044\u3048\u3069\u3082\u30a8\u30d3\u30c7\u30f3\u30b9\u30ec\u30d9\u30eb\u306f\u3042\u307e\u308a\u9ad8\u304f\u306a\u3044\uff0e\u73fe\u72b6\u3067\u306f\u6700\u9ad8\u306e\u30a8\u30d3\u30c7\u30f3\u30b9\u3067\u306f\u3042\u308b\u304c\uff0c\u7121\u4f5c\u70ba\u5316\u6bd4\u8f03\u8a66\u9a13\u306e\u5145\u5b9f\u304c\u671b\u307e\u308c\u308b\uff0e<\/p>\n

Strength and Hypertrophy Adaptations Between Low- vs. High-Load Resistance Training: A Systematic Review and Meta-analysis. J Strength Cond Res. 2017 Dec;31(12):3508-3523.<\/a><\/h3>\n

ABSTRACT<\/h3>\n

The purpose of this article was to conduct a systematic review of the current body of literature and a meta-analysis to compare changes in strength and hypertrophy between low- vs. high-load resistance training protocols. Searches of PubMed\/MEDLINE, Cochrane Library, and Scopus were conducted for studies that met the following criteria: (a) an experimental trial involving both low-load training [≤60% 1 repetition maximum (1RM)] and high-load training (>60% 1RM); (b) with all sets in the training protocols being performed to momentary muscular failure; (c) at least one method of estimating changes in muscle mass or dynamic, isometric, or isokinetic strength was used; (d) the training protocol lasted for a minimum of 6 weeks; (e) the study involved participants with no known medical conditions or injuries impairing training capacity. A total of 21 studies were ultimately included for analysis. Gains in 1RM strength were significantly greater in favor of high- vs. low-load training, whereas no significant differences were found for isometric strength between conditions. Changes in measures of muscle hypertrophy were similar between conditions. The findings indicate that maximal strength benefits are obtained from the use of heavy loads while muscle hypertrophy can be equally achieved across a spectrum of loading ranges.<\/p>\n

KEY WORDS<\/h4>\n

heavy loading, light loading, muscle mass, muscle strength, repetition maximum continuum<\/p>\n

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INTRODUCTION<\/h3>\n

\u3000\u73fe\u6642\u70b9\u3067\u306e\u7b4b\u529b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30ac\u30a4\u30c9\u30e9\u30a4\u30f3<\/a>\u304c\u516c\u8a00\u3059\u308b\u3068\u3053\u308d\u306b\u3088\u308b\u3068\uff0c\u7b4b\u529b\u3068\u7b4b\u80a5\u5927\u306e\u9069\u5fdc\u3092\u6700\u5927\u5316\u3059\u308b\u306b\u306f 1 RM \u306e 70 % \u3092\u8d85\u3048\u308b\u8ca0\u8377\u304c\u8981\u6c42\u3055\u308c\u308b\uff0e\u540c\u69d8\u306b\uff0c\u3044\u308f\u3086\u308b “RM\u9023\u7d9a\u4f53<\/strong>” \u306f\u6b21\u306e\u3088\u3046\u306b\u79f0\u3057\u3066\u3044\u308b\uff0e\u300c\u7b4b\u529b\u306e\u5897\u52a0\u306f 1-5 RM \u306b\u6700\u9069\u5316\u3055\u308c\u3066\u304a\u308a\uff0c\u7b4b\u80a5\u5927\u306e\u5897\u52a0\u306f 6-12 RM \u306e\u8ca0\u8377\u3067\u9054\u6210\u3055\u308c\u308b\u300d\u3068\uff0e\u3053\u308c\u3089\u306e\u63a8\u5968\u306f\u6b21\u306e\u4fe1\u6761\u306b\u3088\u308a\u4e3b\u5f35\u3055\u308c\u3066\u3044\u308b\uff0e\u3064\u307e\u308a\u300c\u6700\u9ad8\u95be\u5024\u306e\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u3092\u52d5\u54e1\u3057\u3066\u6700\u5927\u306e\u7b4b\u8089\u306e\u9069\u5fdc\u3092\u4fc3\u9032\u3059\u308b\u306b\u306f\uff0c\u91cd\u3044\u8ca0\u8377\u304c\u5fc5\u8981\u3067\u3042\u308b\u300d\u3068\uff0e<\/p>\n

\u3000\u3088\u308a\u8efd\u3044\u8ca0\u8377\u306b\u3088\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3044\u3066\u3082\uff0c\u4e0e\u3048\u3089\u308c\u305f\u30bb\u30c3\u30c8\u306e\u30ec\u30c3\u30d7\u30b9\u306e\u9593\u306b\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u306e\u5168\u3066\u306e\u30d7\u30fc\u30eb\u3092\u52d5\u54e1\u3067\u304d\u308b\u304b\u3069\u3046\u304b\u306b\u3064\u3044\u3066\u306f\u8b70\u8ad6\u306e\u4f59\u5730\u304c\u3042\u308b\uff0e\u652f\u914d\u7684\u306a\u7814\u7a76<\/a>\u304c\u793a\u5506\u3059\u308b\u3068\u3053\u308d\u306b\u3088\u308b\u3068\uff0c\u7b4b\u7dda\u7dad\u306e\u52d5\u54e1\u306f\u30b5\u30a4\u30ba\u306e\u539f\u7406<\/strong>\u306b\u5f93\u3046\uff0e\u3064\u307e\u308a\u3053\u3046\u3044\u3046\u3053\u3068\u3060\uff0e\u6700\u5c0f\u306e\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u304c\u307e\u305a\u4e0e\u3048\u3089\u308c\u305f\u904b\u52d5\u306e\u6642\u9593\u4e2d\u306b\u52d5\u54e1\u3055\u308c\uff0c\u529b\u306e\u7523\u751f\u306e\u8981\u6c42\u304c\u5897\u5927\u3059\u308b\u306b\u3064\u308c\u3066\u3088\u308a\u591a\u304f\u306e\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u304c\u5f93\u4e8b\u3059\u308b\u3088\u3046\u306b\u306a\u308b\uff0e\u3053\u306e\u3053\u3068\u306f\u91cd\u3044\u8ca0\u8377\u304c\u7b4b\u8089\u306e\u9069\u5fdc\u3092\u6700\u5927\u5316\u3059\u308b\u306e\u306b\u5fc5\u8981\u3067\u3042\u308b\u3068\u3044\u3046\u3053\u3068\u306f\u652f\u6301\u3057\u3066\u3044\u308b\u3088\u3046\u3060\u304c\uff0c\u4ee3\u308f\u308a\u306b 1 RM \u306e 30 % \u3068\u3044\u3046\u4f4e\u5f37\u5ea6\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3067\u3082\uff0c\u77ac\u9593\u7684\u306a\u7b4b\u4e0d\u5168\uff08\u75b2\u52b4\u56f0\u618a\uff09\u306b\u81f3\u308b\u307e\u3067\u4e0e\u3048\u3089\u308c\u305f\u30bb\u30c3\u30c8\u3092\u5b9f\u884c\u3059\u308c\u3070\uff0c\u6700\u7d42\u7684\u306b\u5168\u3066\u306e\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u3092\u52d5\u54e1\u3067\u304d\u308b\u3068\u3044\u3046\u3053\u3068\u3092\u9000\u3051\u3066\u3044\u308b\u7814\u7a76\u8005\u3082\u3044\u308b (8<\/a>,10<\/a>).<\/p>\n

\u3000\u8868\u9762\u7b4b\u96fb\u56f3\u306b\u3088\u308b\u7814\u7a76\u306f\u4e00\u8cab\u3057\u3066\u793a\u3057\u3066\u3044\u308b\uff0e\u4f4e\u8ca0\u8377\u5f37\u5ea6 (<50% 1RM) \u306b\u304a\u3051\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u6642\u306e\u96fb\u6c17\u7684\u632f\u5e45\u306e\u5e73\u5747\u306f\uff0c\u7b4b\u4e0d\u5168\u306b\u81f3\u308b\u307e\u3067\u30bb\u30c3\u30c8\u304c\u5b9f\u884c\u3055\u308c\u305f\u6642\u3067\u3055\u3048\uff0c\u9ad8\u5f37\u5ea6 (>70% 1RM) \u306b\u5bfe\u3057\u3066\u4f4e\u3044 (24<\/a>,21<\/a>). \u9006\u306b\uff0c\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u9593\uff0c\u4e2d\u7b49\u5ea6\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u9593\u306e\u30d4\u30fc\u30af\u7b4b\u96fb\u56f3\u306b\u5339\u6575\u3059\u308b\u632f\u5e45\u3092\u5b9f\u8a3c\u3057\u305f\u4f8b\u3082\u3042\u308a\uff0c\u305d\u306e\u3088\u3046\u306a\u4e56\u96e2\u3057\u305f\u6240\u898b\u306f\uff0c\u7b4b\u4e0d\u5168\u306b\u81f3\u308b\u30bb\u30c3\u30c8\u306e\u30bf\u30a4\u30e0\u30b3\u30fc\u30b9\u3092\u901a\u3058\u305f\u89e3\u6790\u6cd5\u306e\u9055\u3044\u306e\u7d50\u679c\u306b\u3088\u308b\u306e\u304b\u3082\u3057\u308c\u306a\u3044 (18<\/a>,40<\/a>). \u5f37\u8abf\u3057\u3066\u304a\u304d\u305f\u3044\u3053\u3068\u3067\u3042\u308b\u304c\uff0c\u7b4b\u96fb\u56f3\u306e\u632f\u5e45\u306f\u52d5\u54e1\u306e\u50cd\u304d\u3060\u3051\u3067\u306a\u304f\uff0c\u30ec\u30fc\u30c8\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0<\/strong>\uff08\u767a\u706b\u983b\u5ea6\uff09\u3084\u540c\u671f<\/strong>\uff08\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u306e\u540c\u6642\u306e\u8131\u5206\u6975\uff09\uff0c\u4f1d\u9054\u901f\u5ea6\uff08\u6d3b\u52d5\u96fb\u4f4d\u306e\u7b4b\u7dda\u7dad\u306e\u819c\u3092\u4f1d\u308f\u308b\u901f\u3055\uff09\u304a\u3088\u3073\u7d30\u80de\u5185\u6d3b\u52d5\u96fb\u4f4d\u3068\u3057\u3066\u306e\u56e0\u5b50\u3082\u542b\u3093\u3067\u3044\u308b (6<\/a>,12<\/a>). \u3053\u308c\u3089\u306e\u56e0\u5b50\u306f\uff0c\u9806\u756a\u306b\uff0c\u904b\u52d5\u8a98\u767a\u6027\u306e\u75b2\u52b4\u306b\u3088\u308a\u5f71\u97ff\u3055\u308c\u3046\u308b\uff0e\u3086\u3048\u306b\uff0c\u7b4b\u96fb\u56f3\u6240\u898b\u304b\u3089\u8ca0\u8377\u5f37\u5ea6\u306e\u52b9\u679c\u306b\u3064\u3044\u3066\u63a8\u8ad6\u3092\u5f15\u304d\u51fa\u3059\u80fd\u529b\u3092\u6f5c\u5728\u7684\u306b\u6df7\u4e71\u3055\u305b\u308b\uff0e\u3055\u3089\u306b\uff0c\u6b21\u306e\u3053\u3068\u304c\u80af\u5b9a\u3055\u308c\u3066\u3044\u308b\uff0e\u3064\u307e\u308a\uff0c\u8efd\u5ea6\u306e\u8ca0\u8377\u3067\u30ec\u30c3\u30d7\u30b9\u306e\u30bb\u30c3\u30c8\u3092\u5b9f\u65bd\u3057\u3066\u3044\u308b\u9593\u306f\uff0c\u529b\u306e\u51fa\u529b\u3092\u7dad\u6301\u3059\u308b\u305f\u3081\u306b\uff0c\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u304c\u77ac\u9593\u7684\u306b\u8131\u52d5\u54e1<\/strong>\u3068\u518d\u52d5\u54e1<\/strong>\u3092\u7e70\u308a\u8fd4\u3059\u300c\u30e2\u30fc\u30bf\u30fc\u30e6\u30cb\u30c3\u30c8\u30b5\u30a4\u30af\u30ea\u30f3\u30b0<\/strong>\u300d\u3092\u8d77\u3053\u3057\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308a (16<\/a>), \u305d\u308c\u306b\u3088\u308a\u8868\u9762\u7b4b\u96fb\u56f3\u306e\u5f37\u3055\u304c\u5909\u5316\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e\u91cd\u8981\u306a\u3053\u3068\u3060\u304c\uff0c\u8868\u9762\u7b4b\u96fb\u56f3\u306e\u632f\u5e45\u30ec\u30d9\u30eb\u306f\uff0c\u9577\u6642\u9593\u306e\u904b\u52d5\u306b\u3088\u308a\u8a98\u767a\u3055\u308c\u308b\u7b4b\u529b\u3068\u7b4b\u80a5\u5927\u306e\u5897\u52a0\u3068\u306f\u76f8\u95a2\u3059\u308b\u5fc5\u8981\u304c\u306a\u304f\uff0c\u305d\u308c\u3086\u3048\u306b\uff0c\u3053\u308c\u3089\u306e\u9650\u754c\u306e\u6587\u8108\u306e\u4e2d\u3067\u7d50\u8ad6\u306f\u7de9\u548c\u3055\u308c\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\uff0e<\/p>\n

\u3000\u6700\u7d42\u7684\u306b\uff0c\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306e\u56e0\u679c\u95a2\u4fc2\u306f\u6b21\u306e\u3088\u3046\u306a\u7e26\u65ad\u7684\u7814\u7a76\u3092\u5fc5\u8981\u3068\u3059\u308b\uff0e\u3064\u307e\u308a\uff0c\u4f4e\u8ca0\u8377\u3068\u9ad8\u8ca0\u8377\u3092\u7528\u3044\u305f\u7b4b\u30c8\u30ec\u306e\u52b9\u679c\u3092\u76f4\u63a5\u6bd4\u8f03\u3057\u305f\u3082\u306e\u3067\u3042\u308b\uff0eSchoenfeld (43<\/a>) \u3089\u306b\u3088\u308b\u3053\u306e\u3088\u3046\u306a\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306f\u6b21\u306e\u3088\u3046\u306b\u7d50\u8ad6\u3065\u3051\u3066\u3044\u308b\uff0e\u3064\u307e\u308a\uff0c\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3082\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3082\u5171\u306b\uff0c\u7b4b\u529b\u3068\u7b4b\u80a5\u5927\u306e\u4e21\u65b9\u3092\u6709\u610f\u306b\u5897\u52a0\u3055\u305b\u308b\u304c\uff0c\u9ad8\u8ca0\u8377\u72b6\u614b\u306e\u307b\u3046\u304c\u4e21\u65b9\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u5bfe\u3057\u3066\u7d71\u8a08\u7684\u78ba\u7387\u304c\u597d\u307e\u3057\u3044\u3053\u3068\u3082\u5f37\u8abf\u3057\u3066\u304a\u304b\u306a\u304f\u3066\u306f\u3044\u3051\u306a\u3044\uff0e\u8abf\u67fb\u5f53\u6642\u306e 2013 \u5e74 12 \u6708\u306b\u306f\u305f\u3063\u305f 9 \u3064\u306e\u8a66\u9a13\u3057\u304b\u9078\u629e\u57fa\u6e96\u306b\u5408\u81f4\u305b\u305a\uff0c\u7d71\u8a08\u5b66\u7684\u691c\u5b9a\u529b\u306b\u4e4f\u3057\u304b\u3063\u305f\uff0e\u305d\u308c\u306b\u7d9a\u3044\u3066\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3059\u308b\u591a\u304f\u306e\u8ffd\u8a66\u304c\u767a\u8868\u3055\u308c (4<\/a>,14<\/a>,15<\/a>,32<\/a>) , \u5b9f\u7528\u7684\u306a\u4ecb\u5165\u3092\u5f15\u304d\u51fa\u3059\u5927\u304d\u306a\u53ef\u80fd\u6027\u304c\u63d0\u4f9b\u3055\u308c\uff0c\u6f5c\u5728\u5171\u5909\u91cf\u306e\u30b5\u30d6\u89e3\u6790\u304c\u5b9f\u884c\u3055\u308c\u305f\uff0e\u305d\u308c\u3086\u3048\uff0c\u672c\u8457\u306e\u76ee\u7684\u306f\u73fe\u5728\u306e\u6587\u732e\u306b\u5bfe\u3057\u3066\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc\u3092\u884c\u3044\uff0c\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u3092\u884c\u3063\u3066\uff0c\u4f4e\u8ca0\u8377\u3068\u9ad8\u8ca0\u8377\u306e\u7b4b\u30c8\u30ec\u30d7\u30ed\u30c8\u30b3\u30fc\u30eb\u9593\u306e\u7b4b\u529b\u3068\u7b4b\u80a5\u5927\u306b\u304a\u3051\u308b\u5909\u5316\u3092\u6bd4\u8f03\u3059\u308b\u3053\u3068\u306b\u3042\u3063\u305f\uff0e<\/p>\n

METHODS<\/h3>\n

Inclusion Criteria<\/h4>\n

\u3000\u6211\u3005\u306e\u89e3\u6790\u306f\u82f1\u8a9e\u3067\u6295\u7a3f\u3055\u308c\u305f\u67fb\u8aad\u4ed8\u304d\u306e\u5b66\u8853\u8a8c\u3068\u78ba\u8a8d\u3055\u308c\uff0c\u4ee5\u4e0b\u306e\u9078\u629e\u57fa\u6e96\u306b\u5f93\u3046\u3082\u306e\u3068\u3057\u305f\uff0e(a) \u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 (≤60% 1RM) \u3068\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0 (>60% 1RM) \u306e\u4e21\u65b9\u3092\u542b\u3080\u5b9f\u9a13\u7684\u8a66\u9a13\uff0e(b) \u5168\u3066\u306e\u30bb\u30c3\u30c8\u306b\u304a\u3044\u3066\u77ac\u9593\u7684\u306a\u7b4b\u4e0d\u5168\uff08\u56f0\u618a\u75b2\u52b4\uff09\u307e\u3067\u8ffd\u3044\u8fbc\u3093\u3060\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30c8\u30b3\u30eb\u3067\u3042\u308b\u3053\u3068\uff0e(c) \u6700\u4f4e\u3067\u3082\u7b4b\u4f53\u7a4d\u307e\u305f\u306f dynamic, \u7b49\u5c3a\u6027\uff0c\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u5909\u5316\u3092\u63a8\u5b9a\u3059\u308b\u65b9\u6cd5\u304c\u4e00\u3064\u4ee5\u4e0a\u3042\u308b\u3053\u3068\uff0e(d) \u30c8\u30ec\u30fc\u30cb\u30b0\u30d7\u30ed\u30c8\u30b3\u30eb\u304c\u6700\u4f4e\u3067\u3082 6 \u9031\u9593\u306f\u6301\u7d9a\u3059\u308b\u3082\u306e\uff0e(e) \u88ab\u9a13\u8005\u304c\u65e2\u77e5\u306e\u75be\u75c5\u3084\u602a\u6211\u306a\u3069\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u8010\u3048\u3089\u308c\u306a\u3044\u8005\u304c\u542b\u307e\u308c\u3066\u3044\u306a\u3044\u3082\u306e\uff0e\u3044\u304f\u3064\u304b\u306e\u8a66\u9a13\u3067\u306f\u8ca0\u8377\u3092 1 RM \u306e\u30d1\u30fc\u30bb\u30f3\u30c6\u30fc\u30b8\u3088\u308a\u3082\u30ec\u30c3\u30d7\u30b9\u6570\u3068\u3057\u3066\u5831\u544a\u3057\u3066\u3044\u305f\u305f\u3081\uff0c\u5168\u30ec\u30c3\u30d7\u30b9\u304c 15 \u307e\u3067\u306e\u3082\u306e\u3092\u9ad8\u8ca0\u8377\u3068\u307f\u306a\u3057\uff0c15 \u3088\u308a\u591a\u3044\u3082\u306e\u3092\u4f4e\u8ca0\u8377\u3068\u307f\u306a\u3059\u3053\u3068\u306b\u3057\u305f\uff0e<\/p>\n

Search Strategy<\/h4>\n

\u3000\u82f1\u8a9e\u306e\u5b66\u8853\u8a8c\u306e\u7cfb\u7d71\u7684\u6587\u732e\u691c\u7d22\u306f PRISMA \u30ac\u30a4\u30c9\u30e9\u30a4\u30f3\u306b\u5f93\u3063\u305f (30<\/a>). PubMed\/MEDLINE, Cochrane Library \u304a\u3088\u3073 Scopus \u3067\u306e\u6587\u732e\u691c\u7d22\u3092\u5b9f\u65bd\u3057\uff0c2017 \u5e74 3 \u6708\u307e\u3067\u306e\u30a4\u30f3\u30c7\u30c3\u30af\u30b9\u4f5c\u6210\u3092\u958b\u59cb\u3057\u305f\uff0e\u691c\u7d22\u3092\u5b9f\u65bd\u3059\u308b\u306b\u3042\u305f\u3063\u3066\u306e\u69cb\u6587\u306f\u6b21\u306e\u3068\u304a\u308a\u3067\u3042\u308b\uff0e<\/p>\n

muscle hypertrophy AND muscle strength AND (skeletal muscle OR resistance training OR cross-sectional area OR growth OR training intensity OR training load OR high load OR low load OR muscle fibers OR loading OR muscle thickness OR bodybuilding OR fitness)<\/code><\/p>\n

\u3000\u5f15\u304d\u7d9a\u3044\u3066\uff0c\u691c\u7d22\u3067\u53d6\u5f97\u3057\u305f\u53c2\u8003\u6587\u732e\u30ea\u30b9\u30c8\u3092 Greenhalge \u3068 Peacock (19<\/a>) \u306b\u3088\u308b\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3057\u3066\u6f5c\u5728\u7684\u306a\u9069\u7528\u6027\u306e\u3042\u308b\u8ffd\u52a0\u306e\u539f\u8457\u304c\u306a\u3044\u304b\uff0c\u719f\u8aad\u3057\u305f\uff0e\u9078\u629e\u57fa\u6e96\u306b\u5408\u81f4\u3059\u308b\u3053\u308c\u3089\u306e\u539f\u8457\u306e\u88ab\u5f15\u7528\u56de\u6570\u306e\u30c8\u30e9\u30c3\u30ad\u30f3\u30b0\u3092 Google Scholar \u306b\u3066\u5b9f\u65bd\u3057\u305f\uff0e\u9078\u629e\u30d0\u30a4\u30a2\u30b9\u306e\u53ef\u80fd\u6027\u3092\u6e1b\u3089\u3059\u305f\u3081\u306b\u3053\u308c\u3089\u306e\u8ad6\u6587\u306f\u72ec\u7acb\u3057\u305f\u4e8c\u4eba\u306e\u7814\u7a76\u8005 (B.J.S. \u3068 J.G.) \u304c\u719f\u8aad\u3057\uff0c\u57fa\u672c\u7684\u306a\u9078\u629e\u57fa\u6e96\u306b\u5408\u81f4\u3059\u308b\u304b\u3069\u3046\u304b\uff0c\u76f8\u4e92\u306b\u6c7a\u5b9a\u3057\u305f\uff0e\u4efb\u610f\u306e\u30a4\u30f3\u30bf\u30d3\u30e5\u30a2\u30fc\u306e\u610f\u898b\u306e\u4e0d\u4e00\u81f4\u306f\uff0c\u7b2c\u4e09\u306e\u7814\u7a76\u8005 (D.O.) \u3068\u306e\u5408\u610f\u3084\u5354\u8b70\u306b\u3088\u3063\u3066\u89e3\u6c7a\u3057\u305f\uff0e<\/p>\n

\u3000\u6700\u521d\u306b\u30ec\u30d3\u30e5\u30fc\u3057\u305f\u539f\u8457\u306e\u3046\u3061 49 \u7de8\u304c\uff0c\u8981\u7d04\u306b\u542b\u307e\u308c\u308b\u60c5\u5831\u306b\u57fa\u3065\u3044\u305f\u30c8\u30d4\u30c3\u30af\u306b\u6f5c\u5728\u7684\u306b\u95a2\u9023\u3057\u3066\u3044\u308b\u3068\u5b9a\u7fa9\u3055\u308c\u305f\uff0e\u3053\u308c\u3089\u306e\u539f\u8457\u306e\u5168\u6587\u3092\u30b9\u30af\u30ea\u30fc\u30cb\u30f3\u30b0\u3057\u3066 24 \u306e\u8a66\u9a13\u304c\u6982\u8aac\u3057\u305f\u57fa\u6e96\u306b\u57fa\u3065\u3044\u305f\u9078\u629e\u306b\u9069\u5207\u3067\u3042\u308b\u3068\u8003\u3048\u3089\u308c\u305f\uff0e\u95a2\u9023\u3059\u308b\u30c7\u30fc\u30bf\u304c\u306a\u3044\u4f8b\u3067\u306f\u8457\u8005\u3078\u306e\u63a5\u89e6\u3092\u8a66\u307f\u305f\uff0e\u9069\u5207\u306a\u30c7\u30fc\u30bf\u304c\u6b20\u843d\u3057\u3066\u3044\u305f\u305f\u3081 3 \u3064\u306e\u8a66\u9a13 (27<\/a>,53<\/a>,54<\/a>) \u3092\u89e3\u6790\u304b\u3089\u9664\u5916\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u305a\uff0c\u305d\u308c\u3086\u3048\u306b\u6b8b\u308a\u306e 21 \u306e\u8a66\u9a13 (1<\/a>,3<\/a>,4<\/a>,9<\/a>,15<\/a>,14<\/a>,17<\/a>,22<\/a>,25<\/a>,29<\/a>,32<\/a>,36<\/a>,37<\/a>,38<\/a>,42<\/a>,44<\/a>,45<\/a>,46<\/a>,47<\/a>,50<\/a>,51<\/a>) \u304c\u89e3\u6790\u3055\u308c\u305f\uff0eFig. 1<\/strong> \u306b\u6587\u732e\u691c\u7d22\u306e\u30d5\u30ed\u30fc\u30c1\u30e3\u30fc\u30c8\u3092\u793a\u3059\uff0eTable 1<\/strong> \uff08\u7701\u7565\uff09\u306b\u9078\u629e\u3055\u308c\u305f\u8a66\u9a13\u306e\u6982\u8981\u3092\u793a\u3059\uff0e<\/p>\n

\"\"<\/a>
Figure 1. Flow diagram of search process.<\/figcaption><\/figure>\n

Coding of Studies<\/h4>\n

\u30002 \u540d\u306e\u7814\u7a76\u8005 (B.J.S. and J.G.) \u304c\u3059\u3079\u3066\u306e\u8a66\u9a13\u3092\u8aad\u307f\uff0c\u4ee5\u4e0b\u306e\u5909\u6570\u306b\u3064\u3044\u3066\u72ec\u7acb\u3057\u3066\u30b3\u30fc\u30c9\u5316\u3057\u305f\uff0e (a) \u8457\u8005\uff0c\u30bf\u30a4\u30c8\u30eb\uff0c\u51fa\u7248\u5e74\uff0e(b) \u88ab\u691c\u8005\u306e\u60c5\u5831\uff0c\u4f8b\u3048\u3070\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\uff0c\u6027\u5225\uff0c\u5e74\u9f62\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u72b6\u614b\u306a\u3069\uff0e\u5e74\u9f62\u306b\u3064\u3044\u3066\u306f\u4ee5\u4e0b\u306e\u5206\u985e\u3092\u4f7f\u7528\u3057\u305f\uff0e\u3059\u306a\u308f\u3061 18-39 \u6b73\u306f\u82e5\u5e74\u8005\u3068\u5206\u985e\u3057\uff0c40-64 \u6b73\u306f\u4e2d\u5e74\u3068\u5206\u985e\u3057\uff0c65 \u6b73\u4ee5\u4e0a\u306f\u9ad8\u9f62\u8005\u3068\u5206\u985e\u3057\u305f\uff0e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u72b6\u614b\u306b\u3064\u3044\u3066\u306fSchoenfeld \u306b\u3088\u308b\u8a66\u9a13 (43<\/a>) \u306e\u4e2d\u3067\u30ab\u30c6\u30b4\u30ea\u30fc\u5316\u3057\u305f\uff0e(c) \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u4ecb\u5165\u306b\u3064\u3044\u3066\u306f\u671f\u9593\uff0c\u8ca0\u8377\u306e\u5f37\u5ea6\uff0c\u4e00\u9031\u9593\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u983b\u5ea6\uff0c\u7b4b\u529b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u904b\u52d5\uff0c\u90e8\u4f4d\u306e\u5831\u544a\uff0c\u30c6\u30f3\u30dd\u304a\u3088\u3073\u30a4\u30f3\u30bf\u30fc\u30d0\u30eb\u6642\u9593\u306e\u9577\u3055\u306e\u8a18\u8ff0\uff0e(d) \u7b4b\u80a5\u5927\u306e\u8a55\u4fa1\u6cd5\uff0e\u76f4\u63a5\u6cd5\u306b\u5206\u985e\u3055\u308c\u308b\u65b9\u6cd5\uff08\u6838\u78c1\u6c17\u5171\u9cf4\u6cd5\uff0c\u30b3\u30f3\u30d4\u30e5\u30fc\u30bf\u65ad\u5c64\u6cd5\uff0c\u8d85\u97f3\u6ce2\uff09\uff0c\u9593\u63a5\u6cd5\uff08\u76ae\u4e0b\u8102\u80aa\uff0cDEXA \u6cd5\uff0c\u9593\u63a5\u71b1\u91cf\u8a08\uff09\u304a\u3088\u3073\u30a4\u30f3\u30d3\u30c8\u30ed\uff08\u751f\u691c\uff09\uff0e(e) \u30a2\u30a6\u30c8\u30ab\u30e0\u3092\u8a55\u4fa1\u3059\u308b\u306e\u306b\u7528\u3044\u305f\u30c6\u30b9\u30c8\uff08\u7b49\u5c3a\u6027\u819d\u4f38\u5c55\u30fb\u5c48\u66f2\uff0c\u6700\u5927\u81ea\u767a<\/del>\u968f\u610f\u53ce\u7e2e\uff0cmaximal dynamic strength \uff08\u4f8b\u3068\u3057\u3066 1RM\uff09\uff09\uff0e(f) \u6e2c\u5b9a\u3057\u305f\u8eab\u4f53\u306e\u90e8\u4f4d\u307e\u305f\u306f\u7b4b\u8089\uff08\u4e0a\u534a\u8eab\uff0c\u4e0b\u534a\u8eab\u307e\u305f\u306f\u4e21\u8005\uff09\uff0e(g) \u4ecb\u5165\u524d\u3068\u4ecb\u5165\u5f8c\u306e\u5e73\u5747\u5024\u53ca\u3073\u6a19\u6e96\u504f\u5dee\u3067\u7b4b\u80a5\u5927\u3068\u7b4b\u529b\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u95a2\u9023\u3059\u308b\u3082\u306e\uff0e(h) \u5831\u544a\u3055\u308c\u305f\u526f\u4f5c\u7528\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30b0\u30e9\u30e0\u3078\u306e\u9075\u5b88\u5ea6\uff0e\u30b3\u30fc\u30c9\u5316\u3057\u305f\u30d5\u30a1\u30a4\u30eb\u306f\uff0c\u89b3\u5bdf\u3055\u308c\u305f\u3044\u304b\u306a\u308b\u76f8\u9055\u306b\u3064\u3044\u3066\u3082\u5354\u8b70\u3068\u5408\u610f\u3092\u7d4c\u3066\u8457\u8005\u9593\u3067\u76f8\u4e92\u306b\u30c1\u30a7\u30c3\u30af\u3057\u305f\uff0ecoder drift \u3092\u907f\u3051\u308b\u305f\u3081\u306b Cooper \u3089 (11<\/a>) \u306b\u3088\u308b\u518d\u30b3\u30fc\u30c7\u30a3\u30f3\u30b0\u3092\u8a66\u9a13\u306e 30 % \u304b\u3089\u7121\u4f5c\u70ba\u306b\u62bd\u51fa\u3057\u305f\uff0e\u75c7\u4f8b\u3054\u3068\u306e\u540c\u610f\u306f\uff0c\u540c\u3058\u30b3\u30fc\u30c9\u5316\u3055\u308c\u305f\u5909\u6570\u306e\u6570\u3092\u5909\u6570\u306e\u7dcf\u6570\u3067\u9664\u3057\u305f\u3082\u306e\u3068\u5b9a\u7fa9\u3057\u305f\uff0e\u53d7\u7406\u306b\u306f\u5e73\u5747\u3067 90 % \u306e\u540c\u610f\u3092\u8981\u3057\u305f\uff0e<\/p>\n

Methodological Quality<\/h4>\n

\u3000\u5404\u8a66\u9a13\u306e\u54c1\u8cea\u306f\u72ec\u7acb\u306b 2 \u540d\u306e\u7814\u7a76\u8005 (J.G. and B.J.S.) \u306b\u3088\u308a\u8a55\u4fa1\u3057\uff0c\u89b3\u5bdf\u3055\u308c\u305f\u3044\u304b\u306a\u308b\u5dee\u7570\u306b\u3064\u3044\u3066\u3082\u4e92\u3044\u306e\u540c\u610f\u3092\u6c7a\u5b9a\u3057\u305f\uff0e\u8a66\u9a13\u54c1\u8cea\u306f 11 \u70b9\u6e80\u70b9\u306e Physiotherapy Evidence Database (PEDro) \u30b9\u30b1\u30fc\u30eb\u306b\u3088\u308a\u8a55\u4fa1\u3057\u305f\uff0e\u3053\u308c\u306f\u7121\u4f5c\u70ba\u5316\u8a66\u9a13\u306e\u65b9\u6cd5\u8ad6\u7684\u54c1\u8cea\u306e\u6709\u52b9\u306a\u63aa\u7f6e\u3067\u3042\u308b\u3053\u3068\u304c\u5224\u660e\u3057\u3066\u304a\u308a (13<\/a>), \u8a31\u5bb9\u3067\u304d\u308b\u4fe1\u983c\u5ea6\u3092\u793a\u3057\u3066\u3044\u308b (33<\/a>). \u8a55\u4fa1\u8005\u3092\u76f2\u691c\u5316\u3067\u304d\u306a\u3044\u5834\u5408\uff0c\u307e\u305f\u88ab\u9a13\u8005\u3068\u8abf\u67fb\u8005\u3092\u76f2\u691c\u5316\u3067\u304d\u306a\u3044\u5834\u5408\uff0c\u3064\u307e\u308a\u76e3\u7763\u4e0b\u306e\u904b\u52d5\u4ecb\u5165\u306b\u3042\u308b\u5834\u5408\u306b\u306f\uff0c\u6211\u3005\u306f 5-7 \u756a\u76ee\u306e\u30a2\u30a4\u30c6\u30e0\u3092\u30b9\u30b1\u30fc\u30eb\u304b\u3089\u524a\u9664\u3059\u308b\u3053\u3068\u306b\u3057\u305f\uff0e\u305d\u308c\u3089\u306f\u76f2\u691c\u5316\u306b\u7279\u7570\u7684\u306a\u3082\u306e\u3067\u3042\u308b\uff0e\u3053\u308c\u3089\u306e\u30a2\u30a4\u30c6\u30e0\u3092\u524a\u9664\u3059\u308b\u3053\u3068\u3067\uff0c8 \u70b9\u6e80\u70b9\u306e\u4fee\u6b63 PEDro \u30b9\u30b1\u30fc\u30eb\u306e\u6700\u5927\u5024\u306f 7 \u3068\u306a\u308b\uff08\u4f8b\u3048\u3070\uff0c\u6700\u521d\u306e\u30a2\u30a4\u30c6\u30e0\u306f\u7dcf\u70b9\u6570\u306b\u52a0\u7b97\u3055\u308c\u306a\u3044\u306a\u3069\uff09\uff0e\u5b9a\u6027\u7684\u306a\u65b9\u6cd5\u8ad6\u306e\u8a55\u4fa1\u304c\u4ee5\u524d\u306e\u904b\u52d5\u95a2\u9023\u30b7\u30b9\u30c6\u30de\u30c6\u30a3\u30c3\u30af\u30ec\u30d3\u30e5\u30fc (26) \u3067\u4f7f\u7528\u3055\u308c\u305f\u8fd1\u4f3c\u5024\u306b\u6700\u9069\u5316\u3055\u308c\u308b\uff0e\u3064\u307e\u308a 6-7 \u70b9\u304c\u300c\u512a\u300d, 5 \u70b9\u304c\u300c\u826f\u300d, 4 \u70b9\u304c\u300c\u53ef\u300d, 0-3 \u70b9\u304c\u300c\u4e0d\u53ef\u300d\u3067\u3042\u308b\uff0e<\/p>\n

Calculation of Effect Size<\/h4>\n

\u3000\u7b4b\u80a5\u5927\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u305d\u308c\u305e\u308c\u306b\u3064\u3044\u3066\uff0c\u52b9\u679c\u91cf\u306f\u6b21\u306e\u3088\u3046\u306b\u8a08\u7b97\u3057\u305f\uff0e\u30c6\u30b9\u30c8\u524d\u3068\u30c6\u30b9\u30c8\u5f8c\u306e\u5dee\u3092\uff0c\u30d7\u30fc\u30eb\u3057\u305f\u30c6\u30b9\u30c8\u524d\u306e\u6a19\u6e96\u504f\u5dee\u3067\u9664\u3057\u305f\u3082\u306e (31<\/a>). \u30c6\u30b9\u30c8\u524d\u304b\u3089\u30c6\u30b9\u30c8\u5f8c\u306e\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u3082\u8a08\u7b97\u3057\u305f\uff0e\u5c0f\u3055\u306a\u30b5\u30f3\u30d7\u30eb\u30d0\u30a4\u30a2\u30b9\u306f\u5404\u52b9\u679c\u91cf\u3092\u9069\u7528\u3057\u3066\u6700\u9069\u5316\u3057\u305f (31<\/a>). \u5404\u52b9\u679c\u91cf\u5468\u8fba\u306e\u5206\u6563\u306f\uff0c\u5404\u8a66\u9a13\u306b\u304a\u3051\u308b\u30b5\u30f3\u30d7\u30eb\u30b5\u30a4\u30ba\u3068\u5168\u8a66\u9a13\u306b\u308f\u305f\u308b\u52b9\u679c\u91cf\u306e\u5e73\u5747\u304b\u3089\u8a08\u7b97\u3057\u305f (7<\/a>). <\/p>\n

Statistical Analyses<\/h4>\n

\u3000multilevel data structure \u306b\u304a\u3051\u308b\u5805\u7262\u306a\u5171\u5909\u91cf\u306e\u30e1\u30bf\u56de\u5e30\u3092\u7528\u3044\u305f\u5909\u91cf\u52b9\u679c\u30e2\u30c7\u30eb\u3092\u63a1\u7528\u3057\u305f\uff0e\u5c0f\u3055\u306a\u30b5\u30f3\u30d7\u30eb\u306b\u8abf\u6574\u3057\u3066\u3044\u308b (20<\/a>,49<\/a>). \u8a66\u9a13\u5185\u306e\u76f8\u95a2\u52b9\u679c\u3092\u8003\u616e\u3057\uff0c\u8a66\u9a13\u306f\u30af\u30e9\u30b9\u30bf\u30ea\u30f3\u30b0\u5909\u6570\u3068\u3057\u3066\u7528\u3044\u305f\uff0e\u89b3\u6e2c\u306f\u30b5\u30f3\u30d7\u30ea\u30f3\u30b0\u306e\u5206\u6563\u306e\u9006\u6570\u3067\u52a0\u91cd\u3057\u305f\uff0e\u30e2\u30c7\u30eb\u30d1\u30e9\u30e1\u30fc\u30bf\u306f\u5236\u9650\u3064\u304d\u6700\u5c24\u6cd5\u3067\u63a8\u5b9a\u3057\u305f (48<\/a>). \u500b\u5225\u306b\u30e1\u30bf\u56de\u5e30\u3092\u5b9f\u884c\u3057\uff0c\u4ee5\u4e0b\u306e\u52b9\u679c\u91cf\u3092\u6c42\u3081\u305f\uff1b1RM, \u7b49\u5c3a\u6027\u7b4b\u529b\uff0c\u7b49\u901f\u6027\u7b4b\u529b\uff0c\u4f53\u7d44\u6210\uff0c\u7b4b\u8089\u306e\u5927\u304d\u3055\u306e\u76f4\u63a5\u8a55\u4fa1\uff0c\u751f\u691c\u306b\u3088\u308b\u7b4b\u7dda\u7dad\u306e\u5927\u304d\u3055\uff0e\u8ca0\u8377\u306e\u5206\u985e\uff08\u9ad8\u307e\u305f\u306f\u4f4e\uff09\u306f\u5168\u3066\u306e\u56de\u5e30\u30e2\u30c7\u30eb\u306b\u304a\u3044\u3066\u30e2\u30c7\u30ec\u30fc\u30bf\u3068\u3057\u3066\u542b\u307e\u308c\u305f\uff0e\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u5b9f\u7528\u7684\u306a\u6709\u610f\u6027\u3092\u8a55\u4fa1\u3059\u308b\u305f\u3081\uff0c\u540c\u7b49\u306e\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u3092\u5404\u3005\u306e\u30e1\u30bf\u56de\u5e30\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u3054\u3068\u306b\u8a08\u7b97\u3057\u305f\uff0e\u30d5\u30a9\u30ec\u30b9\u30c8\u30d7\u30ed\u30c3\u30c8\u306e\u751f\u6210\u3092\u53ef\u80fd\u306b\u3059\u308b\u305f\u3081\uff0c\u52b9\u679c\u91cf\u306b\u304a\u3051\u308b\u5dee\u7570\u306e\u5e73\u5747\u3092\u5404\u8a66\u9a13\u3054\u3068\u306b\u8a08\u7b97\u3057\u3066\u8a66\u9a13\u30ec\u30d9\u30eb\u306e\u52b9\u679c\u91cf\u3092\u6c42\u3081\uff0c\u30e1\u30bf\u56de\u5e30\u3092\u5b9f\u884c\u3057\u3066\u305d\u308c\u3089\u306e\u52b9\u679c\u91cf\u3092\u6c42\u3081\u305f\uff0e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u4e0a\u534a\u8eab\u307e\u305f\u306f\u4e0b\u534a\u8eab\u306e\u7b4b\u7fa4\u3068\u306e\u9593\u306b\u76f8\u4e92\u4f5c\u7528\u304c\u5b58\u5728\u3059\u308b\u304b\u3092\u63a2\u7d22\u3059\u308b\u305f\u3081\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u305d\u306e\u534a\u8eab\uff08\u4e0a\u534a\u8eab\u307e\u305f\u306f\u4e0b\u534a\u8eab\uff09\u3078\u306e\u76f8\u4e92\u4f5c\u7528\u306b\u3064\u3044\u3066\u306e\u30c7\u30fc\u30bf\u304c\u5341\u5206\u306b\u5b58\u5728\u3059\u308b\u304b\uff0c\u500b\u5225\u306b\u89e3\u6790\u3092\u5b9f\u884c\u3057\u305f\uff0e<\/p>\n

\u3000\u89e3\u6790\u3092\u6b6a\u3081\u308b\u53ef\u80fd\u6027\u306e\u3042\u308b\u9ad8\u3044\u5f71\u97ff\u529b\u3092\u6301\u3064\u8a66\u9a13\u3092\u540c\u5b9a\u3059\u308b\u305f\u3081\uff0c\u611f\u5ea6\u5206\u6790\u3092\u5404\u30e2\u30c7\u30eb\u3054\u3068\u306b\u884c\u3044\uff0c\u4e00\u5ea6\u306b\u4e00\u3064\u306e\u8a66\u9a13\u3092\u9664\u5916\u3057\u3066\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u306e\u4e88\u6e2c\u56e0\u5b50\u3092\u691c\u67fb\u3057\u305f\uff0e\u9664\u5916\u3057\u305f\u7d50\u679c\u4e88\u6e2c\u56e0\u5b50\u304c\u6709\u610f\u307e\u305f\u306f\u50be\u5411\u306b\u3042\u308b (p ≤ 0.10) \u304b\u3089\u6709\u610f\u3067\u306a\u3044 (p > 0.10) \u306b\u5909\u5316\u3057\u305f\u5834\u5408\uff0c\u307e\u305f\u306f\u9006\u306b\uff0c\u9664\u5916\u306b\u3088\u3063\u3066\u4fc2\u6570\u306e\u5927\u304d\u3055\u306b\u5927\u304d\u306a\u5909\u5316\u304c\u8d77\u304d\u305f\u5834\u5408\u306b\u306f\uff0c\u305d\u306e\u8a66\u9a13\u306f\u5f71\u97ff\u529b\u304c\u3042\u308b\u3068\u540c\u5b9a\u3055\u308c\u305f\uff0e<\/p>\n

\u3000\u3059\u3079\u3066\u306e\u89e3\u6790\u306f R \u30d0\u30fc\u30b8\u30e7\u30f3 3.3.2 (The R Foundation for Statistical Computing, Vienna, Austria) \u3092\u7528\u3044\u3066\u5b9f\u884c\u3057\u305f\uff0e\u52b9\u679c\u306f p ≤ 0.05 \u306b\u3066\u6709\u610f\u3068\u3057, 0.05 < p ≤ 0.10 \u306b\u3066\u50be\u5411\u3042\u308a\u3068\u3057\u305f\uff0e\u30c7\u30fc\u30bf\u306f\u5e73\u5747\u5024 ± \u6a19\u6e96\u504f\u5dee\u304a\u3088\u3073 95% \u4fe1\u983c\u533a\u9593 (CIs) \u3068\u3057\u3066\u8868\u73fe\u3057\u305f\uff0e<\/p>\n

RESULTS<\/h3>\n

\u3000\u5168\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u7d50\u679c\u306f Table 2<\/strong> \u306b\u793a\u3057\u305f\uff0ePEDro \u30b9\u30b1\u30fc\u30eb\u306b\u3088\u308a\u8a55\u4fa1\u3057\u305f\u8a66\u9a13\u54c1\u8cea\u306e\u8a55\u4fa1\u306e\u5e73\u5747\u5024\u306f 5.6 \u3067\uff0c\u8a66\u9a13\u306e\u30d7\u30fc\u30eb\u304c\u826f\u304b\u3089\u512a\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u3057\u3066\u304a\u308a\uff0c\u89e3\u6790\u306b\u7528\u3044\u305f\u8a66\u9a13\u3067\u4e0d\u53ef\u306e\u3082\u306e\u306f\u306a\u3044\u3068\u601d\u308f\u308c\u305f\uff0e<\/p>\n

\"\"<\/a>
Table 2. Impact of training load on strength and hypertrophy.<\/figcaption><\/figure>\n

One Repetition Maximum<\/h4>\n

\u3000\u6700\u7d42\u7684\u306a\u5206\u6790\u306b\u306f 14 \u306e\u8a66\u9a13\u304b\u3089 84 \u306e\u52b9\u679c\u91cf\u304c\u542b\u307e\u308c\u3066\u3044\u305f\uff0e\u5168\u8a66\u9a13\u306b\u308f\u305f\u308b\u5e73\u5747\u52b9\u679c\u91cf\u306f 1.50 ± 0.23 (CI: 1.01-1.99) \u3067\u3042\u3063\u305f\uff0e\u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u306f 31.6 ± 4.5 % (CI: 22.0-41.2) \u3067\u3042\u3063\u305f\uff0e\u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u306e\u9593\u306b\u306f\u5e73\u5747\u52b9\u679c\u91cf\u306b\u6709\u610f\u5dee\u304c\u8a8d\u3081\u3089\u308c (Δ = -0.37 ± 0.10; CI: -0.59 to -0.16; p = 0.003), \u9ad8\u8ca0\u8377\u306f\u3088\u308a\u5927\u304d\u306a\u5e73\u5747\u52b9\u679c\u91cf\u3068\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u306e\u5897\u52a0 (Table 2<\/strong>) \u3092\u3082\u305f\u3089\u3057\u305f\uff0e\u8a66\u9a13\u30ec\u30d9\u30eb\u306e\u89e3\u6790\u306b\u3088\u308a\u6709\u610f\u306b\u9ad8\u8ca0\u8377\u3092\u597d\u3080\u52b9\u679c\u91cf\u304c\u660e\u3089\u304b\u306b\u3055\u308c\u305f (ES = 0.58 ± 0.16; CI: 0.28-0.89; p = 0.002; Figure 2<\/strong>). \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u305f\u534a\u8eab\u306e\u9593\u306b\u306f\u76f8\u4e92\u4f5c\u7528\u306f\u4e00\u5207\u8a8d\u3081\u3089\u308c\u306a\u304b\u3063\u305f (p = 0.69). \u611f\u5ea6\u5206\u6790\u3067\u306f\u5f71\u97ff\u529b\u306e\u3042\u308b\u660e\u3089\u304b\u306a\u8a66\u9a13\u306f\u306a\u304b\u3063\u305f<\/p>\n

\"\"<\/a>
Figure 2. Forest plot of studies comparing changes in 1RM strength in high- vs. low-load training. The data shown are mean ± 95% CI; the size of the plotted squares reflects the statistical weight of each study. CI = confidence interval; ES = effect size; RM = repetition maximum.<\/figcaption><\/figure>\n

Isometric Strength<\/h4>\n

\u3000\u6700\u7d42\u5206\u6790\u306b\u306f 8 \u8a66\u9a13\u304b\u3089 23 \u306e\u52b9\u679c\u91cf\u304c\u542b\u307e\u308c\u3066\u3044\u305f\uff0e\u5168\u8a66\u9a13\u306b\u308f\u305f\u308b\u5e73\u5747\u52b9\u679c\u91cf\u306f 0.60 ± 0.19 (CI: 0.15-1.05) \u3067\u3042\u3063\u305f\uff0e\u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u306f 21.5 ± 5.3 % (CI: 8.9-34.2) \u3067\u3042\u3063\u305f\uff0e\u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u3068\u306e\u9593\u306b\u306f\u5e73\u5747\u52b9\u679c\u91cf\u306b\u6709\u610f\u5dee\u306f\u306a\u304b\u3063\u305f (Δ = -0.09 ± 0.10; CI: -0.34 to 0.17; p = 0.43; Table 2<\/strong>). \u8a66\u9a13\u30ec\u30d9\u30eb\u306e\u89e3\u6790\u3067\u306f\u8ca0\u8377\u306e\u6709\u610f\u306a\u30a4\u30f3\u30d1\u30af\u30c8\u306f\u306a\u304b\u3063\u305f (ES = 0.16 ± 0.11; CI; -0.10 to 0.41; p = 0.19; Figure 3<\/strong>). \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u305f\u534a\u8eab\u3068\u306e\u9593\u306e\u76f8\u4e92\u4f5c\u7528\u3092\u8abf\u3079\u308b\u306e\u306b\u5341\u5206\u306a\u30c7\u30fc\u30bf\u304c\u306a\u304b\u3063\u305f\uff0e\u611f\u5ea6\u5206\u6790\u3067\u306f\u4e00\u4ef6\u306e\u5f71\u97ff\u529b\u306e\u3042\u308b\u8a66\u9a13\u304c\u898b\u3064\u304b\u3063\u305f\uff0eVan Roie (51<\/a>) \u3089\u306b\u3088\u308b\u305d\u306e\u8a66\u9a13\u3092\u9664\u5916\u3059\u308b\u3068\uff0c\u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u306e\u9593\u306e\u6709\u610f\u3067\u306a\u3044\u5dee\u7570\u304c\u5927\u304d\u304f\u5909\u5316\u3057\u305f (Δ = -0.24 ± 0.13; CI: -0.57 to 0.08; p = 0.11). <\/p>\n

\"\"<\/a>
Figure 3. Forest plot of studies comparing changes in isometric strength in high- vs. low-load training. The data shown are mean ± 95% CI; the size of the plotted squares reflects the statistical weight of each study. CI = confidence interval; ES = effect size.<\/figcaption><\/figure>\n

Isokinetic Strength<\/h4>\n

\u30004 \u8a66\u9a13\u304b\u3089 41 \u306e\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u52b9\u679c\u91cf\u3092\u5f97\u305f\uff0e\u8a66\u9a13\u6570\u304c\u5341\u5206\u3067\u306a\u304f\uff0c\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u8ca0\u8377\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u304b\u3063\u305f\uff0e<\/p>\n

Lean Body Mass<\/h4>\n

\u30005 \u8a66\u9a13\u304b\u3089 14 \u306e\u4f53\u7d44\u6210\u306e\u52b9\u679c\u91cf\u3092\u5f97\u305f\uff0e\u8a66\u9a13\u6570\u304c\u5341\u5206\u3067\u306a\u304f\uff0c\u9664\u8102\u80aa\u4f53\u91cd\u5909\u5316\u306b\u304a\u3051\u308b\u8ca0\u8377\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u304b\u3063\u305f\uff0e<\/p>\n

Muscle Hypertrophy<\/h4>\n

\u3000\u6700\u7d42\u7684\u306a\u5206\u6790\u306b\u306f 10 \u306e\u8a66\u9a13\u304b\u3089 41 \u306e\u52b9\u679c\u91cf\u3092\u5f97\u305f\uff0e\u5168\u8a66\u9a13\u306b\u308f\u305f\u308b\u52b9\u679c\u91cf\u306e\u5e73\u5747\u306f 0.47 ± 0.08 (CI: 0.28-0.65) \u3067\u3042\u3063\u305f\uff0e\u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u306f 7.6 ± 1.2 % (CI: 4.9-10.4) \u3067\u3042\u3063\u305f\uff0e\u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u3068\u306e\u9593\u306b\u306f\u5e73\u5747\u52b9\u679c\u91cf\u306e\u5dee\u7570\u304c\u3042\u308b\u50be\u5411\u304c\u898b\u3089\u308c (Δ = -0.11 ± 0.06; CI: -0.24 to 0.03; p = 0.10), \u9ad8\u8ca0\u8377\u306e\u307b\u3046\u304c\u4f4e\u8ca0\u8377\u3088\u308a\u82e5\u5e72\u5927\u304d\u3044\u50be\u5411\u304c\u3042\u3063\u305f (Table 2<\/strong>). \u3057\u304b\u3057\uff0c\u8a66\u9a13\u30ec\u30d9\u30eb\u306e\u89e3\u6790\u3067\u306f\u8ca0\u8377\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u306f\u8a8d\u3081\u3089\u308c\u306a\u304b\u3063\u305f (ES = 0.03 ± 0.05; CI: -0.08 to 0.14; p = 0.56; Figure 4<\/strong>). \u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3057\u305f\u534a\u8eab\u3068\u306e\u9593\u306b\u306f\u76f8\u4e92\u4f5c\u7528\u306f\u8a8d\u3081\u3089\u308c\u306a\u304b\u3063\u305f (p = 0.46). \u611f\u5ea6\u5206\u6790\u306b\u304a\u3044\u3066\uff0c5 \u3064\u306e\u5f71\u97ff\u529b\u306e\u3042\u308b\u8a66\u9a13\u304c\u898b\u3064\u304b\u3063\u305f (Table 3<\/strong>). \u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b 3 \u3064\u306e\u8a66\u9a13 (37<\/a>,47<\/a>,51<\/a>) \u3092\u9664\u5916\u3057\u305f\u7d50\u679c\uff0cp \u5024\u306f\u6709\u610f\u3067\u306f\u306a\u304f\u306a\u308a (p = 0.22-0.46), \u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u306e\u9593\u306e\u52b9\u679c\u91cf\u306e\u5dee\u7570\u306f\u6e1b\u5c11\u3057\u305f (Δ = -0.06 to -0.09). <\/p>\n

\"\"<\/a>
Figure 4. Forest plot of studies comparing changes in muscle hypertrophy in high- vs. low-load training. The data shown are mean ± 95% CI; the size of the plotted squares reflects the statistical weight of each study. CI = confidence interval; ES = effect size.<\/figcaption><\/figure>\n

Muscle Fiber Size<\/h4>\n

\u3000\u7b4b\u751f\u691c\u3092\u5b9f\u65bd\u3057\u305f 4 \u8a66\u9a13\u304b\u3089 23 \u306e\u7b4b\u7dda\u7dad\u306e\u5927\u304d\u3055\u306e\u52b9\u679c\u91cf\u3092\u5f97\u305f\uff0e\u8a66\u9a13\u6570\u304c\u5341\u5206\u3067\u306a\u304f\uff0c\u7b4b\u7dda\u7dad\u306e\u5927\u304d\u3055\u306b\u304a\u3051\u308b\u8ca0\u8377\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u3092\u30e2\u30c7\u30eb\u5316\u3059\u308b\u3053\u3068\u304c\u3067\u304d\u306a\u304b\u3063\u305f\uff0e<\/p>\n

DISCUSSION<\/h3>\n

\u3000\u4eca\u56de\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306f\u524d\u56de\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9 (43<\/a>) \u306e 2 \u500d\u4ee5\u4e0a\u306e 21 \u3082\u306e\u8a66\u9a13\u3092\u542b\u3093\u3067\u3044\u308b\uff0e\u3053\u306e\u304b\u306a\u308a\u5927\u898f\u6a21\u306a\u7814\u7a76\u306b\u3088\u308a\uff0c\u7b4b\u80a5\u5927\u304a\u3088\u3073\u7b49\u5f35\u6027\u30fb\u7b49\u5c3a\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3088\u307c\u3059\u8ca0\u8377\u306e\u52b9\u679c\u306b\u95a2\u3057\u3066\u5341\u5206\u306a\u63a8\u8ad6\u3092\u5f15\u304d\u51fa\u3059\u7d71\u8a08\u5b66\u7684\u691c\u5b9a\u529b\u304c\u5f97\u3089\u308c\u305f\uff0e\u305f\u3060\uff0c\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8a08\u6e2c\uff0c\u7b4b\u7dda\u7dad\u4f53\u7a4d\u3068\u9664\u8102\u80aa\u4f53\u91cd\u306b\u304a\u3051\u308b\u5909\u5316\u3092\u8a55\u4fa1\u3059\u308b\u306b\u306f\u30c7\u30fc\u30bf\u304c\u4e0d\u5341\u5206\u3067\u3042\u308b\uff0e\u89e3\u6790\u306b\u304a\u3044\u3066\u306f\u3044\u304f\u3064\u304b\u8208\u5473\u6df1\u3044\u767a\u898b\u304c\u3042\u3063\u305f\uff0e<\/p>\n

\u3000\u7b4b\u529b\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u3064\u3044\u3066\u306f\u30e2\u30c0\u30ea\u30c6\u30a3\u691c\u67fb\u306e\u305f\u3081\u3044\u304f\u3076\u3093\u77db\u76fe\u304c\u898b\u3089\u308c\u305f\uff0e\u91cd\u3044\u8ca0\u8377\u306f 1RM \u306e\u7b4b\u529b\u5897\u5f37\u306b\u95a2\u3057\u3066\u660e\u3089\u304b\u306b\u512a\u52e2\u3067\u3042\u308a\uff0c\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u6bd4\u8f03\u3057\u305f\u6b8b\u5dee\u306e\u78ba\u7387\u63a8\u5b9a\u5024\u306f\u307b\u307c\u4e00\u5b9a\u306e\u5c24\u5ea6\u3092\u793a\u3057\u3066\u3044\u308b (p = 0.003)(23<\/a>). \u6700\u5927\u7b49\u5f35\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u91cd\u3044\u8ca0\u8377\u306e\u512a\u4f4d\u6027\u306f\u7279\u7570\u6027\u539f\u7406<\/strong>\u3068\u4e00\u8cab\u6027\u304c\u3042\u308a\uff0c\u3088\u308a\u5bc6\u63a5\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30b0\u30e9\u30e0\u304c\u6240\u4e0e\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u8981\u6c42\u3092\u53cd\u5fa9\u3059\u308b\u307b\u3069\uff0c\u305d\u306e\u30d7\u30ed\u30b0\u30e9\u30e0\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3078\u306e\u79fb\u8ee2\u304c\u3088\u308a\u5927\u304d\u304f\u306a\u308b\uff0c\u3068\u6307\u793a\u3059\u308b\u3082\u306e\u3067\u3042\u308b (5<\/a>). 1RM \u691c\u67fb\u306e\u672c\u8cea\u3092\u8003\u616e\u3059\u308b\u3068\u6700\u5927\u306e\u8ca0\u8377\u3092\u6319\u4e0a\u3059\u308b\u3053\u3068\u3067\u3042\u308a\uff0c\u305d\u308c\u306f\u8ad6\u7406\u7684\u306b\u6b21\u306e\u3088\u3046\u306b\u306a\u308b\uff0c\u3064\u307e\u308a\uff0c\u8ab0\u304b\u304c\u6700\u5927\u53cd\u5fa9\u56de\u6570\u306b\u8fd1\u3065\u304f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3068\u306f\uff0c\u3053\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u6700\u5927\u9650\u79fb\u8ee2\u3059\u308b\u3053\u3068\u3067\u3042\u308b\uff0e\u306b\u3082\u304b\u304b\u308f\u3089\u305a\uff0c\u91cd\u3044\u8ca0\u8377\u3082\u8efd\u3044\u8ca0\u8377\u3082\u5171\u306b 1RM \u306e\u5897\u52a0\u306b\u5927\u304d\u306a\u52b9\u679c\u3092\u793a\u3057\u3066\u304a\u308a (1.69, 1.32), \u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5897\u52a0\u7387\u306b\u5909\u63db\u3059\u308b\u3068 35.4 % \u304a\u3088\u3073 28.0 % \u3068\u306a\u308b\uff0e\u305d\u308c\u3086\u3048\u6211\u3005\u306e\u77e5\u898b\u306b\u3088\u308c\u3070\uff0c\u7b49\u5f35\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3044\u3066\u6700\u5927\u5897\u52a0\u3092\u9054\u6210\u3059\u308b\u306b\u306f\u91cd\u3044\u8ca0\u8377\u304c\u8981\u6c42\u3055\u308c\u308b\u304c\uff0c\u8efd\u3044\u8ca0\u8377\u3067\u3082\uff0c\u3053\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306b\u304a\u3044\u3066\u306f\u540c\u69d8\u306b\uff0c\u5b9f\u8cea\u7684\u306a\u5897\u52a0\u3092\u4fc3\u9032\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u3092\u793a\u5506\u3057\u3066\u3044\u308b\uff0e\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3059\u308b\u6211\u3005\u306e\u77e5\u898b\u306f\u4e3b\u306b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d4c\u9a13\u306e\u306a\u3044\u88ab\u9a13\u8005\u306b\u57fa\u3065\u3044\u3066\u304a\u308a\uff0c\u305f\u3063\u305f 3 \u3064\u306e\u8a66\u9a13\u3067\u8abf\u67fb\u3057\u305f\u7b49\u5f35\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3067\u306e\u7b4b\u529b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d4c\u9a13\u306e\u72b6\u614b\u9593\u306e\u5909\u5316\u306b\u57fa\u3065\u3044\u305f\u3082\u306e\u3067\u3042\u308b\u3053\u3068\u306f\u8a18\u3057\u3066\u304a\u304f\u3079\u304d\u3067\u3042\u308b\uff0e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u72b6\u614b\u306e\u30b5\u30d6\u89e3\u6790\u3067\u306f\uff0c\u76f8\u4e92\u4f5c\u7528\u306e\u65b9\u5411\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d4c\u9a13\u306e\u3042\u308b\u88ab\u691c\u8005\u3067\u306f\u3088\u308a\u5927\u304d\u304f\u306a\u308a\u3055\u3048\u3059\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308a\uff0c\u3053\u306e\u3053\u3068\u304b\u3089\uff0c\u8ab0\u3057\u3082\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d4c\u9a13\u3092\u7372\u5f97\u3059\u308b\u3088\u3046\u306b\uff0c\u3088\u308a\u91cd\u3044\u8ca0\u8377\u304c\u7b49\u5f35\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u6700\u5927\u5897\u52a0\u306b\u304a\u3044\u3066\uff0c\u3088\u308a\u91cd\u8981\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u5506\u3057\u3066\u3044\u308b\uff0e\u3057\u304b\u3057\uff0c\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3059\u308b\u30c7\u30fc\u30bf\u304c\u4e0d\u8db3\u3057\u3066\u304a\u308a\uff0c\u6c7a\u5b9a\u7684\u306a\u7d50\u8ad6\u3092\u5c0e\u304f\u3053\u3068\u304c\u3067\u304d\u306a\u3044\uff0e<\/p>\n

\u3000\u7b49\u5c3a\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u89b3\u70b9\u304b\u3089\u306f\uff0c\u9ad8\u8ca0\u8377\u30fb\u4f4e\u8ca0\u8377\u3068\u3082\u306b\u4f3c\u305f\u3088\u3046\u306a\u5897\u52a0\u3092\u3082\u305f\u3089\u3059\uff0e\u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5909\u5316\u7387\u3082\u307b\u3068\u3093\u3069\u9055\u3044\u306f\u306a\u304f\u305d\u308c\u305e\u308c 22.6 %, 20.5 % \u3067\u3042\u308b\uff0e\u984d\u9762\u3067\uff0c\u3053\u308c\u306e\u6697\u793a\u3059\u308b\u3068\u3053\u308d\u306f\uff0c\u4e2d\u7acb\u7684\u306a\u6a5f\u5668\u3067\u30c6\u30b9\u30c8\u3059\u308b\u3053\u3068\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u7279\u7570\u6027\u304c\u76f8\u6bba\u3055\u308c\u308b\u6642\u306b\u306f\uff0c\u8ca0\u8377\u306e\u5e2f\u57df\u306b\u304b\u304b\u308f\u3089\u305a\uff0c\u529b\u306e\u7523\u751f\u306e\u5897\u52a0\u304c\u7b49\u3057\u304f\u9054\u6210\u3055\u308c\u308b\u3068\u3044\u3046\u3053\u3068\u3067\u3042\u308b\uff0e\u3057\u304b\u3057\uff0c\u611f\u5ea6\u5206\u6790\u306b\u3088\u308b\u3068 Van Roie \u3089\u306e\u8a66\u9a13 (51<\/a>) \u3092\u9664\u5916\u3059\u308b\u3053\u3068\u3067\u5b9f\u8cea\u7684\u306b\u72b6\u614b\u9593\u306e\u6b8b\u5dee\u306e\u5927\u304d\u3055\u304c\u5909\u5316\u3057\uff0c95 % \u4fe1\u983c\u533a\u9593 (-0.08 to 0.57) \u306f\u3088\u308a\u91cd\u3044\u8ca0\u8377\u306b\u660e\u767d\u306a\u5229\u70b9\u3092\u793a\u3059\u3088\u3046\u306b\u306a\u308b\uff0e\u3053\u306e\u30c8\u30d4\u30c3\u30af\u306b\u95a2\u3059\u308b\u8a66\u9a13\u306e\u6570\u306f\u76f8\u5bfe\u7684\u306b\u5c0f\u3055\u304f\uff0c\u78ba\u5b9a\u7684\u306a\u63a8\u8ad6\u3092\u5c0e\u304f\u306b\u306f\u7d71\u8a08\u5b66\u7684\u691c\u5b9a\u529b\u306b\u4e4f\u3057\u3044\uff0e\u3057\u304b\u3057\u6539\u5b9a\u3057\u305f\u4fe1\u983c\u533a\u9593 (-0.57 to 0.08) \u306e\u691c\u67fb\u306f\uff0c\u76f8\u5bfe\u7684\u306b\u5c0f\u3055\u306a\u5927\u304d\u3055\u3067\u306f\u3042\u308b\u304c\uff0c\u3088\u308a\u91cd\u3044\u8ca0\u8377\u306e\u5229\u70b9\u3092\u793a\u5506\u3057\u3066\u3044\u308b\u3088\u3046\u3067\u3042\u308b (23<\/a>). <\/p>\n

\u3000\u9ad8\u8ca0\u8377\u30fb\u4f4e\u8ca0\u8377\u3067\u306e\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u304a\u3051\u308b\u52b9\u679c\u306e\u5927\u304d\u3055\u3092\u5b9a\u91cf\u3059\u308b\u306b\u306f\u8a66\u9a13\u306e\u6570\u304c\u4e0d\u5341\u5206\u3067\u3042\u308b\uff0e\u3053\u306e\u30a2\u30a6\u30c8\u30ab\u30e0\u306e\u8a08\u6e2c\u306e\u5909\u5316\u3092\u8abf\u67fb\u3057\u305f\u8a66\u9a13\u306f 3 \u3064\u3067\u3042\u308a\uff0cAagaard (1<\/a>) \u3089\u306f\u9ad8\u8ca0\u8377\u3067\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u307f\u82e5\u3044\u512a\u79c0\u306a\u30b5\u30c3\u30ab\u30fc\u9078\u624b\u306e\u96c6\u56e3\u306b\u304a\u3044\u3066\u7b49\u901f\u6027\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u5897\u52a0\u304c\u898b\u3089\u308c\u305f\u3068\u5831\u544a\u3057\u3066\u3044\u308b\uff0e\u9006\u306b\uff0cVan Roie (51<\/a>) \u3089\u3068 Hisaeda (22<\/a>) \u3089\u306b\u3088\u308b\u3068\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u672a\u7d4c\u9a13\u3067\u5730\u57df\u5728\u4f4f\u306e\u9ad8\u9f62\u8005\u3068\u82e5\u5e74\u5973\u6027\u3068\u3067\u306f\uff0c\u72b6\u614b\u9593\u306b\u306f\u6709\u610f\u5dee\u304c\u8a8d\u3081\u3089\u308c\u306a\u304b\u3063\u305f\uff0e\u8eab\u4f53\u6d3b\u52d5\u30ec\u30d9\u30eb\u304b\u3053\u308c\u3089\u306e\u591a\u69d8\u306a\u4eba\u53e3\u306b\u7279\u6709\u306e\u56e0\u5b50\u304b\u304c\uff0c\u76f8\u9055\u306b\u5bc4\u4e0e\u3057\u3066\u3044\u308b\u306e\u304b\u3069\u3046\u304b\uff0c\u307e\u3060\u5206\u304b\u3063\u3066\u3044\u306a\u3044\uff0e<\/p>\n

\u3000\u7b4b\u8089\u306e\u30b5\u30a4\u30ba\u3092\u76f4\u63a5\u8a08\u6e2c\u3057\u305f\u30c7\u30fc\u30bf\u304b\u3089\u306f\uff0c\u9ad8\u8ca0\u8377\u30fb\u4f4e\u8ca0\u8377\u306e\u72b6\u614b\u9593\u306e\u7b4b\u80a5\u5927\u306b\u307b\u3068\u3093\u3069\u9055\u3044\u306f\u898b\u3089\u308c\u306a\u3044\u3053\u3068\u304c\u793a\u3055\u308c\u3066\u3044\u308b\uff0e\u5e73\u5747\u52b9\u679c\u91cf\u306e\u9055\u3044 (p = 0.10) \u306f\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3078\u306e\u8cdb\u540c\u3092\u793a\u5506\u3057\u3066\u3044\u308b (23<\/a>) \u306b\u3082\u304b\u304b\u308f\u3089\u305a\uff0cFigure 4<\/strong> \u306b\u793a\u3057\u305f\u3088\u3046\u306b\u8a66\u9a13\u30ec\u30d9\u30eb\u306e\u89e3\u6790\u3067\u306f\u8ca0\u8377\u306e\u30a4\u30f3\u30d1\u30af\u30c8\u306f\u306a\u304f (p = 0.56), \u9ad8\u8ca0\u8377\u3068\u4f4e\u8ca0\u8377\u306e\u9593\u306e\u5e73\u5747\u30d1\u30fc\u30bb\u30f3\u30c8\u5897\u52a0\u7387\u306b\u3082\u30a4\u30f3\u30d1\u30af\u30c8\u306f\u306a\u304b\u3063\u305f (8.3 vs. 7.0%). \u3055\u3089\u306b\uff0c\u611f\u5ea6\u5206\u6790\u306b\u304a\u3044\u3066\u306f\u591a\u304f\u306e\u8a66\u9a13\u304c\u904e\u5ea6\u306b\u5f71\u97ff\u3092\u53d7\u3051\uff0c\u6700\u3082\u5f71\u97ff\u529b\u306e\u3042\u308b\u8a66\u9a13\u3092\u9664\u5916\u3057\u305f\u7d50\u679c\uff0c\u5e73\u5747\u52b9\u679c\u91cf\u306b\u304a\u3051\u308b\u5dee\u7570\u306e\u78ba\u7387\u304c\u6e1b\u5c11\u3057\u305f (p = 0.22-0.46). \u305d\u308c\u3086\u3048\uff0c\u3053\u306e\u77e5\u898b\u306e\u793a\u5506\u3059\u308b\u3068\u3053\u308d\u306f\uff0c\u9ad8\u8ca0\u8377\u3082\u4f4e\u8ca0\u8377\u3082\u5171\u306b\u7b49\u3057\u304f\u7b4b\u8089\u306e\u6210\u9577\u3092\u4fc3\u9032\u3059\u308b\u52b9\u679c\u306f\u9ad8\u3044\u30ec\u30d9\u30eb\u306e\u52aa\u529b\u306b\u3088\u3063\u3066\u5f97\u3089\u308c\u308b\uff0c\u3068\u3044\u3046\u3082\u306e\u3067\u3042\u308b\uff0e\u8208\u5473\u6df1\u3044\u3053\u3068\u306b\uff0c\u6700\u65b0\u306e\u7814\u7a76\u3067\u306f\u8ca0\u8377\u306e\u5e2f\u57df\u306e\u6f5c\u5728\u7684\u306a\u7dda\u7dad\u306e\u578b\u306b\u7279\u7570\u7684\u306a\u52b9\u679c\u304c\u5206\u304b\u3063\u3066\u304d\u3066\u304a\u308a\uff0c\u3088\u308a\u91cd\u3044\u8ca0\u8377\u306b\u304a\u3044\u3066\u306f\u3088\u308a\u5927\u304d\u306a II \u578b\u7b4b\u7dda\u7dad\u306e\u5897\u52a0\u3068\u65ad\u9762\u7a4d\u306e\u5897\u52a0\u3092\u793a\u3057\uff0c\u3088\u308a\u8efd\u3044\u8ca0\u8377\u3067\u306f I \u578b\u7b4b\u7dda\u7dad\u306e\u6210\u9577\u304c\u3088\u308a\u5927\u304d\u304f\u306a\u308b<\/strong> (34<\/a>,35<\/a>,52<\/a>). \u3053\u308c\u306e\u6697\u793a\u3059\u308b\u3068\u3053\u308d\u306f\uff0c\u76ee\u6a19\u304c\u7b4b\u80a5\u5927\u9069\u5fdc\u3092\u6700\u5927\u5316\u3059\u308b\u3053\u3068\u3067\u3042\u308b\u6642\u306b\uff0c\u30ec\u30c3\u30d7\u30b9\u306e\u5206\u5e03\u7bc4\u56f2\u5168\u4f53\u306b\u308f\u305f\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u6f5c\u5728\u7684\u306a\u5229\u76ca\u3067\u3042\u308b\uff0e\u3064\u307e\u308a\uff0c\u3059\u3079\u3066\u306e\u8a66\u9a13\u304c\u305d\u306e\u3088\u3046\u306a\u52b9\u679c (32<\/a>) \u3092\u898b\u51fa\u3057\u305f\u308f\u3051\u3067\u306f\u306a\u304f\uff0c\u305d\u308c\u3086\u3048\u95a2\u9023\u3059\u308b\u5b9f\u7528\u7684\u306a\u63a8\u8ad6\u3092\u5c0e\u304f\u305f\u3081\u306b\u66f4\u306a\u308b\u7814\u7a76\u304c\u5fc5\u8981\u3068\u3055\u308c\u3066\u3044\u308b\uff0e<\/p>\n

\u3000\u3059\u3079\u3066\u306e\u8a66\u9a13\u304c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30b0\u30e9\u30e0\u671f\u9593\u4e2d\u306e\u53c2\u52a0\u7387\u3092\u5831\u544a\u3057\u3066\u3044\u308b\u308f\u3051\u3067\u306f\u306a\u3044\u304c\uff0c\u9ad8\u3044\u30ec\u30d9\u30eb\u306e\u9075\u5b88\u7387\uff08\u4f8b\uff1b\u7dcf\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30bb\u30c3\u30b7\u30e7\u30f3\u306e 87 % \u4ee5\u4e0a\uff09\u3092\u5831\u544a\u3057\u3066\u3044\u308b\uff0e\u305d\u308c\u306e\u793a\u5506\u3059\u308b\u3068\u3053\u308d\u306f\uff0c\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u6bd4\u3079\u3066\u3088\u308a\u5927\u304d\u306a\u4e0d\u5feb\u611f\u3092\u3082\u305f\u3089\u3057\u305f\u53ef\u80fd\u6027\u304c\u3042\u308b\u3053\u3068\u3067\u3042\u308b (17<\/a>). \u3057\u304b\u3057\uff0c\u3053\u306e\u77e5\u898b\u306f\uff0c\u3069\u3061\u3089\u306e\u30bf\u30a4\u30d7\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3082\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30c8\u30b3\u30eb\u3078\u306e\u9075\u5b88\u3092\u8003\u616e\u3059\u308c\u3070\uff0c\u540c\u7b49\u306b\u52b9\u679c\u7684\u3067\u3042\u308b\u3053\u3068\u3092\u793a\u5506\u3057\u3066\u3044\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e\u3055\u3089\u306b\uff0c\u9ad8\u8ca0\u8377\u4f4e\u8ca0\u8377\u3044\u305a\u308c\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3082\u7b49\u3057\u304f\u5b89\u5168\u3067\u3042\u308b\u3088\u3046\u306b\u898b\u3048\u308b\uff0e\u3068\u3044\u3046\u306e\u3082\uff0c\u9078\u629e\u3055\u308c\u305f 21 \u306e\u8a66\u9a13\u306e\u3046\u3061\u526f\u4f5c\u7528\u3092\u5831\u544a\u3057\u3066\u3044\u308b\u306e\u304c 2 \u4ef6\u3060\u3051 (25<\/a>,34<\/a>) \u3060\u304b\u3089\u3067\u3042\u308b\uff08\u4f8b\uff1b\u8efd\u5ea6\u306e\u8171\u9798\u708e\u3068 2 \u4ef6\u306e\u8efd\u5ea6\u306e\u5916\u50b7\u306a\u3069\uff09\uff0e<\/p>\n

\u3000\u3053\u306e\u89e3\u6790\u306b\u542b\u307e\u308c\u308b\u8a66\u9a13\u306e\u3046\u3061\u3044\u304f\u3064\u304b\u306b\u306f\u6f5c\u5728\u7684\u306a\u4ea4\u7d61\u5909\u6570\u304c\u3042\u308a\uff0c\u7d50\u679c\u304c\u5f71\u97ff\u3092\u53d7\u3051\u305f\u53ef\u80fd\u6027\u304c\u3042\u308b\u3053\u3068\u306f\u65ad\u3063\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308b\uff0eFink (14<\/a>) \u3089\u306e\u5831\u544a\u306b\u304a\u3044\u3066\uff0c\u4f4e\u8ca0\u8377\u72b6\u614b\u3067\u306e\u30bb\u30c3\u30c8\u9593\u306e\u30a4\u30f3\u30bf\u30fc\u30d0\u30eb\u304c 30 \u79d2\u9593\u3067\u3042\u308a\uff0c\u4e00\u65b9\u9ad8\u8ca0\u8377\u72b6\u614b\u3067\u306f 3 \u5206\u9593\u3067\u3042\u308b\uff0ePopov (37) \u3089\u306e\u5831\u544a\u3067\u306f\u4f4e\u8ca0\u8377\u7fa4\u306f\u5f1b\u7de9\u306a\u3057\u306b\u30ec\u30c3\u30d7\u30b9\u3092\u5b9f\u884c\u3057\u3066\u304a\u308a\uff0c\u9ad8\u8ca0\u8377\u7fa4\u3067\u306f\u6319\u4e0a\u306e\u7b49\u5c3a\u6027\u90e8\u5206\u3067\u4f11\u606f\u3057\u3066\u3044\u308b\uff0eTanimoto (46<\/a>,47<\/a>) \u3089\u306b\u3088\u308b\u4e8c\u3064\u306e\u8a66\u9a13\u3067\u306f\uff0c\u30ec\u30c3\u30d7\u30b9\u6642\u9593\u306f\u4e21\u72b6\u614b\u306e\u9593\u3067\u7570\u306a\u3063\u3066\u304a\u308a\uff0c\u4f4e\u8ca0\u8377\u72b6\u614b\u3067\u306f\u77ed\u7e2e\u6027 – \u7b49\u5c3a\u6027 – \u4f38\u9577\u6027\u304c 3 \u79d2 – 0 \u79d2 – 3 \u79d2\u3068\u3044\u3046\u30c6\u30f3\u30dd\u3067\u6319\u4e0a\u3057\u3066\u3044\u308b\u304c\uff0c\u9ad8\u8ca0\u8377\u72b6\u614b\u3067\u306f 1 \u79d2 – 1 \u79d2 – 1 \u79d2\u3067\u3042\u308b\uff0e\u3053\u308c\u3089\u306e\u56e0\u5b50\u304c\u7b4b\u80a5\u5927\u306b\u5f71\u97ff\u3057\u305f\u7bc4\u56f2\u3068\u65b9\u5411\u306f\u660e\u3089\u304b\u3067\u306f\u306a\u3044\uff0e<\/p>\n

PRACTICAL APPLICATIONS<\/h3>\n

\u3000\u3053\u306e\u30e1\u30bf\u30a2\u30ca\u30ea\u30b7\u30b9\u306e\u77e5\u898b\u306f\uff0c\u7b4b\u80a5\u5927\u3068\u7b4b\u529b\u5897\u5927\u3092\u4fc3\u9032\u3059\u308b\u305f\u3081\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u306e\u51e6\u65b9\u3092\u8003\u616e\u3059\u308b\u3068\uff0c\u5177\u4f53\u7684\u306a\u6307\u91dd\u3092\u63d0\u4f9b\u3059\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\uff0e\u7b4b\u529b\u5897\u5f37\u306e\u89b3\u70b9\u304b\u3089\u306f\uff0c\u4f55\u3088\u308a\u3082\u307e\u305a\u500b\u4eba\u306e\u9700\u8981\u3092\u8003\u616e\u3057\u306a\u3051\u308c\u3070\u306a\u3089\u306a\u3044\uff0e\u7b4b\u529b\u30b9\u30dd\u30fc\u30c4\u306b\u53c2\u52a0\u3059\u308b\u4eba\u306e\u305f\u3081\u306b\u306f\uff0c\u7279\u306b\u6700\u5927\u8ca0\u8377\u304c\u8981\u6c42\u3055\u308c\u308b\u7279\u7570\u7684\u306a\u30b9\u30dd\u30fc\u30c4\u306b\u304a\u3044\u3066\u306f\uff0c\u8a55\u4fa1\u3055\u308c\u308b\u6319\u4e0a\u306b\u3064\u3044\u3066\u9ad8\u8ca0\u8377\u3067\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304c\u6709\u5229\u3067\u3042\u308b\uff08\u7279\u7570\u6027\u539f\u7406<\/strong>\uff09\uff0e\u75b2\u52b4\u56f0\u618a\u306b\u81f3\u308b\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u904b\u52d5\u30dc\u30ea\u30e5\u30fc\u30e0\uff08\u4ed5\u4e8b\uff09\u3068\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306e\u8d85\u904e\u6642\u9593\u3092\u8981\u3057\uff0c\u305d\u306e\u793a\u5506\u3059\u308b\u3068\u3053\u308d\u306f\uff0c\u9ad8\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u304c\u3055\u3089\u306b\u52b9\u7387\u7684\u3067\u3042\u308b\u3068\u306e\u53ef\u80fd\u6027\u3067\u3042\u308b\uff0e\u6700\u8fd1\u3067\u306f Mattocks (28<\/a>) \u3089\u304c\u793a\u3057\u305f\u306e\u3060\u304c\uff0c\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7d4c\u9a13\u306e\u306a\u3044\u53c2\u52a0\u8005\u306b\u304a\u3044\u3066\u3055\u3048\uff0c\u5b9a\u671f\u7684\u306a 1RM \u3060\u3051\u3092\u5b8c\u9042\u3057\u305f\u306e\u3068\uff0c\u3088\u308a\u9ad8\u30dc\u30ea\u30e5\u30fc\u30e0\u306e\u7b4b\u80a5\u5927\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u5b8c\u9042\u3057\u305f\u306e\u3068\u304c\uff0c\u7b4b\u80a5\u5927\u306b\u304a\u3044\u3066\u306f\u540c\u7b49\u306e\u6539\u5584\u3092\u8a8d\u3081\u305f\u306e\u3067\u3042\u308b\uff0e<\/p>\n

\u3000\u4f4e\u8ca0\u8377\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3067\u7b49\u5f35\u6027\u304a\u3088\u3073\u7b49\u5c3a\u6027\u6700\u5927\u7b4b\u529b\u306e\u5805\u7262\u306a\u5897\u52a0\u304c\u898b\u3089\u308c\u305f\u3053\u3068\uff0c\u9ad8\u8ca0\u8377\u3068\u6bd4\u8f03\u3057\u3066\u3082\u540c\u7b49\u306e\u7b4b\u80a5\u5927\u304c\u898b\u3089\u308c\u305f\u3053\u3068\u304b\u3089\uff0c\u7b4b\u529b\u3068\u7b4b\u4f53\u7a4d\u3092\u4fc3\u9032\u3059\u308b\u305f\u3081\u306b\u51e6\u65b9\u3055\u308c\u3046\u308b\u8ca0\u8377\u7bc4\u56f2\u306b\u306f\uff0c\u660e\u3089\u304b\u306b\u67d4\u8edf\u6027\u304c\u8a8d\u3081\u3089\u308c\u308b\uff0e\u9ad8\u8ca0\u8377vs.\u4f4e\u8ca0\u8377\u306e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u3088\u308b\u7dda\u7dad\u578b\u7279\u7570\u7684\u306a\u9069\u5fdc\u304c\u793a\u5506\u3059\u308b\u65b0\u305f\u306a\u30a8\u30d3\u30c7\u30f3\u30b9\u306f\uff0c\u7b4b\u80a5\u5927\u306e\u6700\u5927\u5316\u304c\u4e3b\u8981\u306a\u76ee\u6a19\u306e\u6642\u306b\u306f\uff0c\u8ca0\u8377\u5e2f\u57df\u306e\u30b9\u30da\u30af\u30c8\u30e9\u30e0\u5168\u57df\u306b\u308f\u305f\u308b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306b\u5bfe\u3057\u3066\u6f5c\u5728\u7684\u306a\u5229\u70b9\u3092\u793a\u5506\u3057\u3066\u3044\u308b\uff0e\u3053\u306e\u4eee\u8aac\u306b\u306f\u3055\u3089\u306a\u308b\u7814\u7a76\u304c\u5fc5\u8981\u3067\u3042\u308b\uff0e<\/p>\n

\u3000\u672c\u89e3\u6790\u306b\u9078\u629e\u3057\u305f\u3059\u3079\u3066\u306e\u8a66\u9a13\u306f\u30bb\u30c3\u30c8\u7d42\u4e86\u6642\u70b9\u3067\u77ac\u9593\u7684\u306a\u7b4b\u4e0d\u5168\uff08\u75b2\u52b4\u56f0\u618a\uff09\u307e\u3067\u884c\u3063\u305f\u3053\u3068\u3092\u65ad\u3063\u3066\u304a\u304f\u5fc5\u8981\u304c\u3042\u308b\uff0e\u305d\u306e\u7d50\u679c\uff0c\u3053\u308c\u3089\u306e\u77e5\u898b\u3092\u9069\u7528\u3057\u3066\u7b4b\u529b\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30d7\u30ed\u30b0\u30e9\u30e0\u3092\u884c\u3046\u969b\u306b\u306f\uff0c\u89b3\u6e2c\u3055\u308c\u305f\u77e5\u898b\u3078\u306e\u30dd\u30b8\u30c6\u30a3\u30d6\u30d5\u30a7\u30a4\u30e9\u30fc\u306e\u8ca2\u732e\u3092\u8003\u616e\u3057\u306a\u304f\u3066\u306f\u306a\u3089\u306a\u3044\uff0e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30dc\u30ea\u30e5\u30fc\u30e0\u3092\u5897\u52a0\u3055\u305b\u3066\u3082\u75b2\u52b4\u56f0\u618a\u307e\u3067\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u3059\u308b\u3053\u3068\u304c\u75b2\u52b4\u56f0\u618a\u306b\u81f3\u3089\u306a\u3044\u3088\u308a\u512a\u308c\u305f\u9069\u5fdc\u3092\u3082\u305f\u3089\u3055\u306a\u3044\u304b\u3082\u77e5\u308c\u306a\u3044\u3082\u306e\u306e (39<\/a>), \u73fe\u5728\u306e\u89e3\u6790\u306b\u3088\u308c\u3070\uff0c\u540c\u7b49\u306e\u7d50\u679c\u306f\u6e96\u6700\u5927\u30fb\u75b2\u52b4\u56f0\u618a\u306b\u81f3\u3089\u306a\u3044\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u306f\u3067\u306f\u5408\u7406\u7684\u306b\u4eee\u5b9a\u3059\u308b\u3053\u3068\u306f\u3067\u304d\u306a\u3044\uff0e\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u8ca0\u8377\u3068\u7b4b\u529b\u30fb\u7b4b\u80a5\u5927\u306e\u5909\u5316\u306e\u9593\u306e\u95a2\u9023\u306b\u304a\u3051\u308b\u52aa\u529b\uff0c\u75b2\u52b4\uff0c\u75b2\u52b4\u56f0\u618a\u306e\u5f79\u5272\u306b\u95a2\u3057\u3066\uff0c\u3055\u3089\u306a\u308b\u7814\u7a76\u304c\u5fc5\u8981\u3067\u3042\u308b\u3053\u3068\u3092\u5f37\u8abf\u3057\u3066\u304a\u304f\uff0e<\/p>\n

REFERENCES<\/h3>\n

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53. Weiss, LW, Coney, HD, and Clark, FC. Differential functional adaptations to short-term low-, moderate- and high-repetition weight training. J Strength Cond Res 13: 236\u2013241, 1999. <\/p>\n

54. Weiss, LW, Coney, HD, and Clark, FC. Gross measures of exerciseinduced muscular hypertrophy. J Orthop Sports Phys Ther 30: 143\u2013 148, 2000. <\/p>\n","protected":false},"excerpt":{"rendered":"

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